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Thermalizing Quantum Machines: Dissipation and Entanglement
Open accessAbstract
We study the relaxation of a quantum system towards the thermal equilibrium using tools developed within the context of quantum information theory. We consider a model in which the system is a qubit, and reaches equilibrium after several successive two-qubit interactions (thermalizing machines) with qubits of a reservoir. We characterize completely the family of thermalizing machines. The model shows a tight link between dissipation, fluctuations, and the maximal entanglement that can be generated by the machines. The interplay of quantum and classical information processes that give rise to practical irreversibility is discussed.
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Cites
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Dynamics of non-Markovian open quantum systems
de Vega, I., & Alonso, D. (2017) · Reviews of Modern Physics · doi:10.1103/revmodphys.89.015001 · Cited by 1,234
Quantum non-Markovianity: characterization, quantification and detection
Rivas, Á., Huelga, S. F., & Plenio, M. B. (2014) · Reports on Progress in Physics · doi:10.1088/0034-4885/77/9/094001 · Cited by 1,035
Irreversible entropy production: From classical to quantum
Landi, G. T., & Paternostro, M. (2021) · Reviews of Modern Physics · doi:10.1103/revmodphys.93.035008 · Cited by 384
Concepts of quantum non-Markovianity: A hierarchy
Li, L., Hall, M. J. W., & Wiseman, H. M. (2018) · Physics Reports · doi:10.1016/j.physrep.2018.07.001 · Cited by 353
Quantum channels and memory effects
Caruso, F., Giovannetti, V., Lupo, C., & Mancini, S. (2012) · arXiv · doi:10.48550/arxiv.1207.5435 · Cited by 331
Metadata
- Authors
- Scarani, V., Ziman, M., Štelmachovič, P., Gisin, N., & Bužek, V.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2002-02-19
- Volume
- 88
- Issue
- 9
- Pages
- 097905-097905
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2133586309
- Cited by
- 313
- References
- 18
- FWCI
- 4.39
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
